Model comparison

Mean aic values

Mean aic values across age groups

Proportion of participants best fit by each model

Parameter estimates from four learning rate model

Asymmetry indices and task performance

AI vs. points earned

Model: AI vs. points earned

AI vs. optimal choices

Model: AI vs. optimal choices

Asymmetry indices across blocks

Model: Asymmetry index by block, block order, and age

Models: AI by block and block order within age groups

Adults

## Fitting one lmer() model. [DONE]
## Calculating p-values. [DONE]

Adolescents

## Fitting one lmer() model. [DONE]
## Calculating p-values. [DONE]

Children

## Fitting one lmer() model. [DONE]
## Calculating p-values. [DONE]

Asymmetry indices by block type and age group

Asymmetry indices by block type, block number, and age group

Asymmetry indices individual data points

Learning rates

Model: Negative learning rates by block, block order, and age

Relations between AI and measures of ‘real-world’ behavior

Age Group N
Children 40
Adolescents 42
Adults 44

Model: AI and depressive symptomatology

term estimate std.error statistic p.value
(Intercept) -0.0021840 0.0894139 -0.0244262 0.9805525
age_scaled -0.0453968 0.0902030 -0.5032741 0.6156790
AI_scaled 0.0999508 0.0927280 1.0778916 0.2832088
age_scaled:AI_scaled 0.1123354 0.0970560 1.1574281 0.2493586

Model: AI and overall risk-taking

term estimate std.error statistic p.value
(Intercept) -0.0027282 0.0858547 -0.0317773 0.9747015
age_scaled 0.2472267 0.0866123 2.8544059 0.0050680
AI_scaled 0.1260946 0.0890368 1.4162069 0.1592631
age_scaled:AI_scaled 0.1403255 0.0931925 1.5057588 0.1347139

Model: AI and financial risk-taking

term estimate std.error statistic p.value
(Intercept) 0.0000660 0.0882307 0.0007484 0.9994041
age_scaled 0.1801330 0.0890094 2.0237539 0.0451801
AI_scaled 0.0994202 0.0915010 1.0865483 0.2793786
age_scaled:AI_scaled -0.0033962 0.0957717 -0.0354609 0.9717702

Inverse temperatures

Beta across age

Model: Beta vs. age

term estimate std.error statistic p.value
(Intercept) 0.0000000 0.0833155 0.000000 1.0000000
age_scaled 0.1459468 0.0836105 1.745556 0.0830819